IDEAS home Printed from https://ideas.repec.org/h/spr/mgmchp/978-3-030-05381-9_7.html
   My bibliography  Save this book chapter

Improving Short-Term Forecast with Demand Sensing

In: Improving Forecasts with Integrated Business Planning

Author

Listed:
  • Ganesh Sankaran
  • Federico Sasso

    (Deloitte Consulting AG)

  • Robert Kepczynski
  • Alessandro Chiaraviglio

    (Polytechnic University of Turin)

Abstract

In this chapter, we explore the facets behind optimization of the monthly consensus forecast with short-term demand sensing. We explain how this process could improve the effectiveness and efficiency of sensed demand in the short-term horizon, even in daily buckets. We highlight that this optimization method is particularly useful for products that are continuously sold and for supply chain environments that are capable of realizing benefits from more accurate short-term predictions. We explain in detail how demand sensing helps addressing variability dampening, working capital reduction, lead time compression or introduction of late customization and illustrate the concept with the use of SAP IBP use cases.

Suggested Citation

  • Ganesh Sankaran & Federico Sasso & Robert Kepczynski & Alessandro Chiaraviglio, 2019. "Improving Short-Term Forecast with Demand Sensing," Management for Professionals, in: Improving Forecasts with Integrated Business Planning, chapter 0, pages 363-385, Springer.
    • Handle: RePEc:spr:mgmchp:978-3-030-05381-9_7
    DOI: 10.1007/978-3-030-05381-9_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:mgmchp:978-3-030-05381-9_7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.